Smart training: Mask R-CNN oriented approach
نویسندگان
چکیده
This paper is aimed at the usage of an augmented reality assisted system set up on smart-glasses for training activities. Literature review leads us to a comparison among related technologies, yielding that Mask Regions with Convolutional Neural Network (R-CNN) oriented approach fits study needs. The proposed method including (1) pointing gesture capture, (2) finger-pointing analysis, and (3) virtual tool positioning rotation angle are developed. Results show recognition object detection 95.5%, Kappa value 0.93, average time detecting 0.26 seconds. Furthermore, even under different lighting, such as indoor outdoor, analysis accuracy 79%. error between actual only 1.32 degrees. results proved well suited present effect reality, making it applicable real world usage.
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ژورنال
عنوان ژورنال: Expert Systems With Applications
سال: 2021
ISSN: ['1873-6793', '0957-4174']
DOI: https://doi.org/10.1016/j.eswa.2021.115595